{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:H5R5HHJLPVU5XFNFL4AMDQ7O4Q","short_pith_number":"pith:H5R5HHJL","canonical_record":{"source":{"id":"2106.14694","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-28T13:15:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6ebe705d9b1543d367f176f27fd4020b45a9ad7f95e13a5f4fb384c213801ce0","abstract_canon_sha256":"f0212d29c3a0816ea3c34d41303e22e75c134f29683fe391a176cf7accfdaf86"},"schema_version":"1.0"},"canonical_sha256":"3f63d39d2b7d69db95a55f00c1c3eee43f87544450c127895b59f15a0b1644d5","source":{"kind":"arxiv","id":"2106.14694","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.14694","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"arxiv_version","alias_value":"2106.14694v1","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.14694","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_12","alias_value":"H5R5HHJLPVU5","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_16","alias_value":"H5R5HHJLPVU5XFNF","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_8","alias_value":"H5R5HHJL","created_at":"2026-07-05T02:52:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:H5R5HHJLPVU5XFNFL4AMDQ7O4Q","target":"record","payload":{"canonical_record":{"source":{"id":"2106.14694","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-28T13:15:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6ebe705d9b1543d367f176f27fd4020b45a9ad7f95e13a5f4fb384c213801ce0","abstract_canon_sha256":"f0212d29c3a0816ea3c34d41303e22e75c134f29683fe391a176cf7accfdaf86"},"schema_version":"1.0"},"canonical_sha256":"3f63d39d2b7d69db95a55f00c1c3eee43f87544450c127895b59f15a0b1644d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:52:53.096423Z","signature_b64":"e9QI2UKGDwVqcdg0dzqbS8iw9UL9LeQMHS7ofQ4GlPx08SZ+gnW5Tn89DOHCX5CRgdVWiwM1WOCo5XP3GELMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f63d39d2b7d69db95a55f00c1c3eee43f87544450c127895b59f15a0b1644d5","last_reissued_at":"2026-07-05T02:52:53.095998Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:52:53.095998Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.14694","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:52:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w9F4nYOo0quOnLn/YU9c2GACMWD/ZNHeq0dgydHLVIUBBFpxte3I1/2zWtXjjjDdRoul4KXyWOX1W+T/IouQBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:36:44.725175Z"},"content_sha256":"4254f906fce15e6cc67eb778f4c9ea567ac0274b96b8dcfe01ca1ee5fadcce96","schema_version":"1.0","event_id":"sha256:4254f906fce15e6cc67eb778f4c9ea567ac0274b96b8dcfe01ca1ee5fadcce96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:H5R5HHJLPVU5XFNFL4AMDQ7O4Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fractal Pyramid Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Huimin Yu, Yangqi Long, Zhiqiang Deng","submitted_at":"2021-06-28T13:15:30Z","abstract_excerpt":"We propose a new network architecture, the Fractal Pyramid Networks (PFNs) for pixel-wise prediction tasks as an alternative to the widely used encoder-decoder structure. In the encoder-decoder structure, the input is processed by an encoding-decoding pipeline that tries to get a semantic large-channel feature. Different from that, our proposed PFNs hold multiple information processing pathways and encode the information to multiple separate small-channel features. On the task of self-supervised monocular depth estimation, even without ImageNet pretrained, our models can compete or outperform "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.14694","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2106.14694/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:52:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"25XT55SdvUb2bb8mYv69uNh8v+g8HufqVNx3t8bpP11KdJKUd8w4qDT617cr3vgOmzQtUNsPubUYKJnRuJ67Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:36:44.725558Z"},"content_sha256":"b15dcec2dfaf4d5c60e2fc1fc6106ab720c507195da22c98e412e40bfc48f902","schema_version":"1.0","event_id":"sha256:b15dcec2dfaf4d5c60e2fc1fc6106ab720c507195da22c98e412e40bfc48f902"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/bundle.json","state_url":"https://pith.science/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T15:36:44Z","links":{"resolver":"https://pith.science/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q","bundle":"https://pith.science/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/bundle.json","state":"https://pith.science/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H5R5HHJLPVU5XFNFL4AMDQ7O4Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:H5R5HHJLPVU5XFNFL4AMDQ7O4Q","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f0212d29c3a0816ea3c34d41303e22e75c134f29683fe391a176cf7accfdaf86","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-28T13:15:30Z","title_canon_sha256":"6ebe705d9b1543d367f176f27fd4020b45a9ad7f95e13a5f4fb384c213801ce0"},"schema_version":"1.0","source":{"id":"2106.14694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.14694","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"arxiv_version","alias_value":"2106.14694v1","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.14694","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_12","alias_value":"H5R5HHJLPVU5","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_16","alias_value":"H5R5HHJLPVU5XFNF","created_at":"2026-07-05T02:52:53Z"},{"alias_kind":"pith_short_8","alias_value":"H5R5HHJL","created_at":"2026-07-05T02:52:53Z"}],"graph_snapshots":[{"event_id":"sha256:b15dcec2dfaf4d5c60e2fc1fc6106ab720c507195da22c98e412e40bfc48f902","target":"graph","created_at":"2026-07-05T02:52:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.14694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new network architecture, the Fractal Pyramid Networks (PFNs) for pixel-wise prediction tasks as an alternative to the widely used encoder-decoder structure. In the encoder-decoder structure, the input is processed by an encoding-decoding pipeline that tries to get a semantic large-channel feature. Different from that, our proposed PFNs hold multiple information processing pathways and encode the information to multiple separate small-channel features. On the task of self-supervised monocular depth estimation, even without ImageNet pretrained, our models can compete or outperform ","authors_text":"Huimin Yu, Yangqi Long, Zhiqiang Deng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-28T13:15:30Z","title":"Fractal Pyramid Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.14694","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4254f906fce15e6cc67eb778f4c9ea567ac0274b96b8dcfe01ca1ee5fadcce96","target":"record","created_at":"2026-07-05T02:52:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f0212d29c3a0816ea3c34d41303e22e75c134f29683fe391a176cf7accfdaf86","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-28T13:15:30Z","title_canon_sha256":"6ebe705d9b1543d367f176f27fd4020b45a9ad7f95e13a5f4fb384c213801ce0"},"schema_version":"1.0","source":{"id":"2106.14694","kind":"arxiv","version":1}},"canonical_sha256":"3f63d39d2b7d69db95a55f00c1c3eee43f87544450c127895b59f15a0b1644d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f63d39d2b7d69db95a55f00c1c3eee43f87544450c127895b59f15a0b1644d5","first_computed_at":"2026-07-05T02:52:53.095998Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:53.095998Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e9QI2UKGDwVqcdg0dzqbS8iw9UL9LeQMHS7ofQ4GlPx08SZ+gnW5Tn89DOHCX5CRgdVWiwM1WOCo5XP3GELMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:53.096423Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.14694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4254f906fce15e6cc67eb778f4c9ea567ac0274b96b8dcfe01ca1ee5fadcce96","sha256:b15dcec2dfaf4d5c60e2fc1fc6106ab720c507195da22c98e412e40bfc48f902"],"state_sha256":"80cf3d84386195cb1c10a8174907893c10224f33f305ded1fdbb98af09fa928d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qooZYnAxM8+8AONX+KT4d+6IXBiRWVDZhsthVhxSGMJXZIB9wDjfxABCsu+aL0SNWHHloAZ+pgQ4IOeKgjLlBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T15:36:44.729302Z","bundle_sha256":"1581af8219237770c443cfeb63cdd219e05c253f6d089d7b74164efe2bb79f3b"}}